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Statistics for Data Scientists
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Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis

1st ed. 2022

Book Details

Format Paperback / Softback
ISBN-10 303010530X
ISBN-13 9783030105303
Edition 1st ed. 2022
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture CH
Country of Publication GB
Publication Date Feb 3rd, 2022
Print length 321 Pages
Weight 538 grams
Dimensions 15.50 x 23.40 x 2.30 cms
Ksh 7,200.00
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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. 

Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.


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